Level AI

Level AI

Real-time AI for proactive insights in customer interactions, boosting revenue with upsell opportunities and improving agent performance, while integrating seamlessly with various platforms.

HQ location
Mountain View, United States
Launch date
Enterprise value
$158—236m
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-investor investor

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$39.4m

Series C
Total Funding000k
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More about Level AI
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Level AI is a dynamic startup that specializes in enhancing customer experience through the integration of human and machine intelligence. The company primarily serves clients in the Business Process Outsourcing (BPO) industry, which includes call centers and customer service departments. Level AI operates in the market of intelligent automation, focusing on improving performance, efficiency, and compliance for its clients.

The business model of Level AI revolves around providing software solutions that analyze and optimize call center data. By eliminating data silos (isolated data storage), Level AI ensures that all relevant information is accessible and integrated, leading to better decision-making and improved customer interactions. The company makes money by offering these software solutions on a subscription basis, charging clients for the use of their platform and tools.

Level AI's technology empowers sales teams to achieve higher conversion rates and enhances the productivity of Quality Assurance (QA) teams, effectively reducing QA costs. The platform's intelligent automation capabilities allow businesses to unlock their full potential by blending human expertise with advanced machine learning algorithms.

In summary, Level AI is a key player in the BPO industry, providing innovative solutions that drive customer satisfaction and operational efficiency. The company's focus on intelligent automation and data integration helps clients achieve significant performance improvements and cost savings.

Keywords: Intelligent Automation, BPO Industry, Call Center Data, Customer Experience, Machine Learning, Sales Performance, QA Productivity, Data Integration, Subscription Model, Operational Efficiency.

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